More than 20 million people in North-East Nigeria, South Sudan, Yemen and Somalia are facing famine or a credible risk of famine over the coming six
months. Some 1.4 million children are currently at imminent risk of death from malnutrition. To avert a major humanitarian catastrophe the United Nat...ions and its partners must massively scale up efforts now. To do this, humanitarian operations in the four countries require more than US$5.6 billion in 2017, of which at least US$4.4 billion are required urgently.
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Testimonies from Humanitarian Workers with Disabilities.
By reading the first-hand accounts, we hear how persons with disabilities, not through any particular talent or skill but from unique knowledge gained through life experience, are ideally placed to provide insights, ideas and leadership, to s...upply essential data, and to fill the gaps in humanitarian response that cause this exclusion.
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The Myanmar National Framework seeks to achieve people-centered, inclusive, and sustainable socioeconomic development in the face of disasters triggered by natural hazards and climate change. The framework articulates a common understanding, proposes a coherent approach, and identifies potential opp...ortunities for strengthening the resilience of communities in Myanmar.
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Resources for Religious Leaders and Faith Communities
Cureus 2024 Jan 16;16(1):e52358. doi: 10.7759/cureus.52358
Climate change is a major risk to good development outcomes, and the World Bank Group is committed to playing an important role in helping countries integrate climate action into their core development agendas. The World Bank Group is committed to supporting client countries to invest in and build a... low-carbon, climate-resilient future, helping them to be better prepared to adapt to current and future climate impacts.
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Twenty-Fourth Annual Trachoma Control Program Review, Summary Proceedings
…voices of persons with disabilities - Part 1
This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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